Law and Contemporary Problems

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Foreword

David W. Peterson

1

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A Brief Reflection on Judicial Use of Social Science Data

Patrick E. Higginbotham

7

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Statistical Significance and the Burden of Persuasion

David H. Kaye

13

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The Significance of Quantitative Evidence in Federal Trade Commission Deceptive Advertising Cases

David W. Barnes

25

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Alternative Approaches to Valuing the Health Impacts of Accidents: Liability Law and Prospective Evaluations

W. Kip Viscusi

49

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Quantitative Methods in Antitrust Litigation

Daniel L. Rubinfeld and Peter O. Steiner

69

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Regression Estimates of Damages in Price-Fixing Cases

Michael O. Finkelstein and Hans Levanbach

145

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Testing for Discrimination in Employment Practices

Robert Follett and Finis Welch

171

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The Problem of Multiple Components or Divisions in Title VII Litigation: A Comment

David W. Barnes

185

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The Role of Probative Statistics in Employment Discrimination Cases

Anthony E. Boardman and Aidan R. Vining

189

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The Use of Statistics to Prove Intentional Employment Discrimination

Elaine W. Shoben

221

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Urn Models for Regression Analysis, With Applications to Employment Discrimination Studies

Bruce Levin and Herbert Robbins

247

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Integrating Statistical Evidence and Legal Theory to Challenge the Selection of Grand and Petit Jurors

Sara Sun Beale

269

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Title VII, Multiple Linear Regression Models, and the Courts: An Analysis

283

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Statistics in Litigation: A Selective Bibliography

Michael Chiorazzi

297

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Journal Staff